mem0 is memory infrastructure that lets AI agents and applications store and retrieve information across interactions. It supports agents and developers who need persistent context for AI systems.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mem0ai/mem0 --skill mem0-tourgit clone --depth 1 https://github.com/mem0ai/mem0Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mem0ai/mem0/mem0-tour)<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-tour"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-tour/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-tour"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-tour.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.01725 |
| Opus 5 | $0.00023 | $0.00863 |
| Sonnet 5 | $0.00009 | $0.00345 |
| Haiku 4.5 | $0.00005 | $0.00172 |
Grade A, and why
mem0-tour scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- tour — 97% identical, 57 lines differ
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mem0 Project Tour
Show the user what mem0 has stored for the current project.
Cross-project mode
When invoked with --all-projects (e.g., /mem0-tour --all-projects or
/mem0-tour --all-projects auth middleware), search across ALL projects:
- Call
get_memorieswithfilters={"AND": [{"user_id": "<active_user_id>"}]},page_size=200— noapp_idfilter. - If a search query was also provided, run
search_memorieswithquery=<query>,filters={"AND": [{"user_id": "<active_user_id>"}]},top_k=20— again noapp_id. - Group results by
app_idfirst, then by category within each project. - Display:
## <app_id_1> (<N> memories) ← current **Architecture Decisions** — <memory content> ... ## <app_id_2> (<N> memories) ... <N> memories across <M> projects - Mark the current project with
← (current)in the heading.
If --all-projects is NOT present, use the standard single-project flow below.
Peek mode (compact search)
When /mem0-tour receives a search query argument (e.g., /mem0-tour auth middleware)
WITHOUT --all-projects, run in peek mode — compact one-liner results:
- Run 2 parallel
search_memoriescalls:- Broad:
query=<query>,filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]},top_k=10,rerank=true - Targeted:
query=<query>,filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]},top_k=5,rerank=true
- Broad:
- Deduplicate by ID, display compact results:
Format:## mem0 search: "<query>" (<N> results) 1. [decision] Auth module uses JWT with RS256 keys (2025-05-15) [mem0:a3f8b2c1] 2. [anti_pattern] Don't use symmetric HS256 — leaked in env (2025-05-10) [mem0:7e2d9f4a] 3. [convention] All middleware in src/middleware/ (2025-05-08) [mem0:c4d5e6f7]<number>. [<type>] <content, 80 chars> (<date>) [mem0:<short_id>] - If no results:
No memories matching "<query>" for project <project_id>.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 157 lines · 47 tokens per session scan A 456199748ff4
mem0-tour is a skill published in the GitHub repository mem0ai/mem0 (64,961 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 1,725 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
pinecone-research
Agent RAG and long-term memory with Pinecone.
browserwing-executor
Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.
dev-browser
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…
ask-user-question
Ask users questions via the UI. Use when you need clarification, user preferences, or confirmation before proceeding. The user CANNOT see CLI output - this tool is the ONLY way to communicate with them.
memos-memory-guide
Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query…
browserwing-admin
Manage and operate BrowserWing — an intelligent browser automation platform. Install dependencies, configure LLM, create/manage/execute automation scripts, use AI-driven exploration to generate scripts, browse the script marketplace, and troubleshoot issues.